Maximal Brain Damage Without Data or Optimization Disrupting Neural Networks via Sign-Bit Flips paper: https://
huggingface.co/papers/2502.07
408
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RESEARCH
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Neural Network Disruption Through Sign-Bit Flip Attacks
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SNR-t Bias in Diffusion Probabilistic Models Explained
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Elucidating the SNR-t Bias of Diffusion Probabilistic Models paper: https://
huggingface.co/papers/2604.16
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Frontier Models Still Outperform Open Source AI Releases
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They're almost always much worse than frontier models (no matter what anyone/benchmarks say). The last few releases have been very solid though (but I suspect frontier will pull far ahead again soon, so this won't last long).
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LLMs Struggle With Mature Scholarship Beyond Mathematical Problems
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LLMs are “ good at math style problems, where you tell them A, B and C are true, and then ask them to figure out D [but]
extremely bad at anything involving what I would call mature scholarship .. [something] like naive undergrads” –
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Jensen Huang on AI Diffusion, Policy and Real-World Ecosystems
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The Jensen + @dwarkesh_sp podcast was fantastic.
— Soumith Chintala (@soumithchintala) 20 avril 2026
Jensen is someone who understood how ecosystems work and someone who understands real-world trade, policy and controls work. And in some deeper sense how AI will actually diffuse into the world.
In this podcast, Dwarkesh came off… https://t.co/A2T9WcKQiBThe Jensen + @dwarkesh_sp podcast was fantastic. Jensen is someone who understood how ecosystems work and someone who understands real-world trade, policy and controls work. And in some deeper sense how AI will actually diffuse into the world.
In this podcast, Dwarkesh came off -
AI Transformers Cut Cancer Trial Failure Rate to 5%
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🔬 Training Transformers to solve 95% failure rate of Cancer Trials
— Latent.Space (@latentspacepod) 20 avril 2026
the AI for Science pod is back with @RonAlfa, CEO of @NOETIK_ai, and Daniel Bear, VP Research at Noetik, explaining exactly how their team of top AI x Bio researchers and engineers (shoutout @owl_posting) will… pic.twitter.com/xdyYWraTkUTraining Transformers to solve 95% failure rate of Cancer Trials the AI for Science pod is back with @RonAlfa
, CEO of @NOETIK_ai
, and Daniel Bear, VP Research at Noetik, explaining exactly how their team of top AI x Bio researchers and engineers (shoutout @owl_posting
) will -
Kimi K2.6 Open-Source Model Beats GPT-5 Claude and Gemini
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An open-source model just topped GPT-5.4, Claude Opus 4.6, and Gemini 3.1 Pro on some of the hardest benchmarks in AI. Moonshot AI just released Kimi K2.6. What it's good at: > Long-horizon coding (12+ hour autonomous runs)
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Japanese Cardboard Drone Achieves 120 km/h Speed Record
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Cardboard #Drone from Japan Hits 120 km/h—Built in Just 5 Minutes
— Ronald van Loon (@Ronald_vanLoon) 20 avril 2026
by @FurkanGozukara#EmergingTech #Technology #Innovation pic.twitter.com/oxaz3D2G1pCardboard #Drone from Japan Hits 120 km/h—Built in Just 5 Minutes
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NVIDIA’s Self-Evolving Logic Synthesis Framework with Multi-Agent LLMs
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NEW paper from NVIDIA. EDA tools like ABC have been hand-tuned by humans for decades. New research from NVIDIA shows they can evolve themselves. The work introduces the first self-evolving logic synthesis framework: multi-agent LLMs autonomously refine the entire ABC codebase,
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Kimi K2.6 becomes open-source SOTA on HLE
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Kimi K2.6 from @Kimi_Moonshot is a new open-source SOTA on HLE with tools, SWE Bench Pro, and other benchmarks!
– HLE w/ tools – 54.0
– SWE-Bench Pro – 58.6
– SWE-bench Multilingual – 76.7 Looks like it is testing time now